基于NPP/VIIRS夜间灯光遥感数据估算上海地区PM_(2.5)浓度
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摘要
随着工业化和城市化的迅速发展,中国面临着越来越严重的大气污染危机,以细颗粒物(PM_(2.5))为标志的区域性大气复合污染问题已经成为我国大气环境污染治理的核心工作.目前,传统的地面监测站监测PM_(2.5)浓度的方法空间分辨率较差且耗费人力物力,而卫星遥感数据监测PM_(2.5)浓度的方法大部分只能应用于白天.由于PM_(2.5)浓度在时间上存在周期性变化,因此利用卫星遥感数据监测的夜间PM_(2.5)浓度可以作为表征PM_(2.5)日变化规律的重要补充.本研究采用Suomi National Polar-orbiting Partnership(Suomi NPP)卫星搭载的可见红外成像辐射计套件(Visible Infrared Imaging Radiometer Suite, VIIRS)中Day/Night波段(DNB)夜间灯光影像数据,依据大气气溶胶消光原理和站点气象数据,建立PM_(2.5)浓度的预测模型,基于多元线性回归分析对上海地区9个空气质量监测站在2014—2018年冬季无月无云的晴朗夜间的PM_(2.5)浓度值进行估计,并对PM_(2.5)浓度的空间分布进行模拟.结果表明,在研究时段上海地区PM_(2.5)实际浓度与模型估算PM_(2.5)浓度之间R~2=0.767,均方根误差(RMSE)为19.210μg·m~(-3),验证了VIIRS/DNB夜间灯光影像数据在估算PM_(2.5)浓度方面有巨大潜力.
With rapid development of industrialization and urbanization, China has currently suffered from increasingly serious air pollution, in particular the fine particulate matter(PM_(2.5)) related haze pollution episodes. Ground-level PM_(2.5) concentrations are routinely measured via sparsely distributed ground monitors, which is always costly and labor-intensive. Although satellite-based PM_(2.5) mapping is capable of providing PM_(2.5) measurements over large spatial area, the output data sets are largely limited to daytime concentrations. To better characterize the daily variability of PM_(2.5) concentration, this study estimated nighttime PM_(2.5) concentrations over Shanghai for the period of 2014—2018 in winter using Day/Night band image data(DNB) collected from the Visible Infrared Imaging Radiometer Suite(VIIRS) on board Suomi National Polar-orbiting Partnership satellite(Suomi-NPP). The results showed that the predicted PM_(2.5) data agreed well with the co-located ground-based PM_(2.5) measurements, with a correlation coefficient of 0.767 and root mean square error of 19.210 μg·m~(-3), thereby indicating large potential of VIIRS/DNB data in nighttime PM_(2.5) mapping.
With rapid development of industrialization and urbanization, China has currently suffered from increasingly serious air pollution, in particular the fine particulate matter(PM_(2.5)) related haze pollution episodes. Ground-level PM_(2.5) concentrations are routinely measured via sparsely distributed ground monitors, which is always costly and labor-intensive. Although satellite-based PM_(2.5) mapping is capable of providing PM_(2.5) measurements over large spatial area, the output data sets are largely limited to daytime concentrations. To better characterize the daily variability of PM_(2.5) concentration, this study estimated nighttime PM_(2.5) concentrations over Shanghai for the period of 2014—2018 in winter using Day/Night band image data(DNB) collected from the Visible Infrared Imaging Radiometer Suite(VIIRS) on board Suomi National Polar-orbiting Partnership satellite(Suomi-NPP). The results showed that the predicted PM_(2.5) data agreed well with the co-located ground-based PM_(2.5) measurements, with a correlation coefficient of 0.767 and root mean square error of 19.210 μg·m~(-3), thereby indicating large potential of VIIRS/DNB data in nighttime PM_(2.5) mapping.
引文
蔡艳,张懿华,沙斐,等.2012.手工法与自动监测法测定PM2.5质量浓度比对研究[J].环境科学与管理,37(7):110-113
陈镭,马井会,甄新蓉,等.2017.上海地区空气污染变化特征及其气象影响因素[J].气象与环境学报,33(3):59-67
Fu D,Xia X,Duan M,et al.2018.Mapping nighttime PM2.5 from VIIRS DNB using a linear mixed-effect model[J].Atmospheric Environment,178:214-222
Gao J,Peng X,Chen G,et al.2016.Insights into the chemical characterization and sources of PM2.5 in Beijing at a 1-h time resolution[J].Science of the Total Environment,542:162-171
Johnson R S,Zhang J,Hyer E J,et al.2013.Preliminary investigations toward nighttime aerosol optical depth retrievals from the VIIRS Day/Night Band[J].Atmospheric Measurement Techniques,6(5):1245-1255
Kamarul Zaman N A F,Kanniah K D,Kaskaoutis D G.2017.Estimating particulate matter using satellite based aerosol optical depth and meteorological variables in Malaysia[J].Atmospheric Research,193:142-162
Lee H J,Liu Y,Coull B A,et al.2011.A novel calibration approach of MODIS AOD data to predict PM2.5 concentrations[J].Atmospheric Chemistry and Physics,11(15):7991-8002
李名升,任晓霞,于洋,等.2016.中国大陆城市PM2.5污染时空分布规律[J].中国环境科学,36(3):641-650
Li T,Shen H,Zeng C,et al.2017.Point-surface fusion of station measurements and satellite observations for mapping PM2.5 distribution in China:Methods and assessment[J].Atmospheric Environment,152:477-489
Malm W C,Sisler J F,Huffman D,et al.1994.Spatial and seasonal trends in particle concentration and optical extinction in the United States[J].Journal of Geophysical Research,99(D1):1347-1370
Mukherjee A,Agrawal M.2018.Assessment of local and distant sources of urban PM2.5 in middle Indo-Gangetic plain of India using statistical modeling[J].Atmospheric Research,213:275-287
Murano G,Corrado V,Dirutigliano D.2016.The new italian climatic data and their effect in the calculation of the energy performance of buildings[J].Energy Procedia,101:153-160
宋佳音.2012.基于行人穿行的LED道路照明功效研究[D].天津:天津大学
Saunders R O,Kahl J D W,Ghorai J K.2014.Improved estimation of PM2.5 using Lagrangian satellite-measured aerosol optical depth[J].Atmospheric Environment,91:146-153
Upadhyay A,Dey S,Goyal P,et al.2018.Projection of near-future anthropogenic PM 2.5 over India using statistical approach[J].Atmospheric Environment,186:178-188
Wang J.2003.Intercomparison between satellite-derived aerosol optical thickness and PM2.5 mass:Implications for air quality studies[J].Geophysical Research Letters,30(21):2095
Wang J,Aegerter C,Xu X,et al.2016.Potential application of VIIRS Day/Night Band for monitoring nighttime surface PM2.5 air quality from space[J].Atmospheric Environment,124:55-63
Wang X,Bi X,Sheng G,et al.2006.Chemical composition and sources of PM10 and PM2.5 aerosols in Guangzhou,China[J].Environmental Monitoring and Assessment,119(1/3):425-439
Wang X,Chen R,Meng X,et al.2013.Associations between fine particle,coarse particle,black carbon and hospital visits in a Chinese city[J].Science of the Total Environment,458-460:1-6
Wei F,Teng E,Wu G,et al.1999.Ambient concentrations and elemental compositions of PM10 and PM2.5 in Four Chinese Cities[J].Environmental Science & Technology,33(23):4188-4193
杨景梅,邱金桓.1996.我国可降水量同地面水汽压关系的经验表达式[J].大气科学,20(5):620-626
Zhang J,Reid J S,Miller S D,et al.2008.Strategy for studying nocturnal aerosol optical depth using artificial lights[J].International Journal of Remote Sensing,29(16):4599-4613
赵笑然,石汉青,杨平吕,等.2017.NPP卫星VIIPS微光资料反演夜间PM2.5质量浓度[J].遥感学报,21(2):291-299
Zheng Y,Zhang Q,Liu Y,et al.2016.Estimating ground-level PM2.5 concentrations over three megalopolises in China using satellite-derived aerosol optical depth measurements[J].Atmospheric Environment,124:232-242
庄雯雯.2015.基于地面MPL研究上海霾天气及吸湿增长的影响[D].上海:东华大学.38-52
陈镭,马井会,甄新蓉,等.2017.上海地区空气污染变化特征及其气象影响因素[J].气象与环境学报,33(3):59-67
Fu D,Xia X,Duan M,et al.2018.Mapping nighttime PM2.5 from VIIRS DNB using a linear mixed-effect model[J].Atmospheric Environment,178:214-222
Gao J,Peng X,Chen G,et al.2016.Insights into the chemical characterization and sources of PM2.5 in Beijing at a 1-h time resolution[J].Science of the Total Environment,542:162-171
Johnson R S,Zhang J,Hyer E J,et al.2013.Preliminary investigations toward nighttime aerosol optical depth retrievals from the VIIRS Day/Night Band[J].Atmospheric Measurement Techniques,6(5):1245-1255
Kamarul Zaman N A F,Kanniah K D,Kaskaoutis D G.2017.Estimating particulate matter using satellite based aerosol optical depth and meteorological variables in Malaysia[J].Atmospheric Research,193:142-162
Lee H J,Liu Y,Coull B A,et al.2011.A novel calibration approach of MODIS AOD data to predict PM2.5 concentrations[J].Atmospheric Chemistry and Physics,11(15):7991-8002
李名升,任晓霞,于洋,等.2016.中国大陆城市PM2.5污染时空分布规律[J].中国环境科学,36(3):641-650
Li T,Shen H,Zeng C,et al.2017.Point-surface fusion of station measurements and satellite observations for mapping PM2.5 distribution in China:Methods and assessment[J].Atmospheric Environment,152:477-489
Malm W C,Sisler J F,Huffman D,et al.1994.Spatial and seasonal trends in particle concentration and optical extinction in the United States[J].Journal of Geophysical Research,99(D1):1347-1370
Mukherjee A,Agrawal M.2018.Assessment of local and distant sources of urban PM2.5 in middle Indo-Gangetic plain of India using statistical modeling[J].Atmospheric Research,213:275-287
Murano G,Corrado V,Dirutigliano D.2016.The new italian climatic data and their effect in the calculation of the energy performance of buildings[J].Energy Procedia,101:153-160
宋佳音.2012.基于行人穿行的LED道路照明功效研究[D].天津:天津大学
Saunders R O,Kahl J D W,Ghorai J K.2014.Improved estimation of PM2.5 using Lagrangian satellite-measured aerosol optical depth[J].Atmospheric Environment,91:146-153
Upadhyay A,Dey S,Goyal P,et al.2018.Projection of near-future anthropogenic PM 2.5 over India using statistical approach[J].Atmospheric Environment,186:178-188
Wang J.2003.Intercomparison between satellite-derived aerosol optical thickness and PM2.5 mass:Implications for air quality studies[J].Geophysical Research Letters,30(21):2095
Wang J,Aegerter C,Xu X,et al.2016.Potential application of VIIRS Day/Night Band for monitoring nighttime surface PM2.5 air quality from space[J].Atmospheric Environment,124:55-63
Wang X,Bi X,Sheng G,et al.2006.Chemical composition and sources of PM10 and PM2.5 aerosols in Guangzhou,China[J].Environmental Monitoring and Assessment,119(1/3):425-439
Wang X,Chen R,Meng X,et al.2013.Associations between fine particle,coarse particle,black carbon and hospital visits in a Chinese city[J].Science of the Total Environment,458-460:1-6
Wei F,Teng E,Wu G,et al.1999.Ambient concentrations and elemental compositions of PM10 and PM2.5 in Four Chinese Cities[J].Environmental Science & Technology,33(23):4188-4193
杨景梅,邱金桓.1996.我国可降水量同地面水汽压关系的经验表达式[J].大气科学,20(5):620-626
Zhang J,Reid J S,Miller S D,et al.2008.Strategy for studying nocturnal aerosol optical depth using artificial lights[J].International Journal of Remote Sensing,29(16):4599-4613
赵笑然,石汉青,杨平吕,等.2017.NPP卫星VIIPS微光资料反演夜间PM2.5质量浓度[J].遥感学报,21(2):291-299
Zheng Y,Zhang Q,Liu Y,et al.2016.Estimating ground-level PM2.5 concentrations over three megalopolises in China using satellite-derived aerosol optical depth measurements[J].Atmospheric Environment,124:232-242
庄雯雯.2015.基于地面MPL研究上海霾天气及吸湿增长的影响[D].上海:东华大学.38-52
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